AmritbaniKaur / Theme-Based-Aesthetic-Image-Assessment

Classified and predicted the image ratings using a simple model of deep convolutional neural networks. Formulated a set of 250 high quality peer rated pictures which achieved an accuracy of 66.8%

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convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning python3 tensorflow

Theme Based Aesthetic Assessment

Please refer: Theme Based Aesthetic Image Assessment.pdf

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Classified and predicted the image ratings using a simple model of deep convolutional neural networks. Formulated a set of 250 high quality peer rated pictures which achieved an accuracy of 66.8%

convolutional-neural-networks deep-learning jupyter-notebook keras machine-learning python3 tensorflow

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Language:Jupyter Notebook 100.0%